Institution
Jadavpur University
Education•Kolkata, India•
About: Jadavpur University is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 10856 authors who have published 27678 publications receiving 422069 citations. The organization is also known as: JU & Jadabpur University.
Papers published on a yearly basis
Papers
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TL;DR: A new real-coded modified differential evolution based automatic fuzzy clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set.
Abstract: The problem of classifying an image into different homogeneous regions is viewed as the task of clustering the pixels in the intensity space. In particular, satellite images contain landcover types, some of which cover significantly large areas while some (e.g., bridges and roads) occupy relatively much smaller regions. Automatically detecting regions or clusters of such widely varying sizes is a challenging task. In this paper, a new real-coded modified differential evolution based automatic fuzzy clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. Here, the assignment of points to different clusters is done based on a Xie-Beni index where the Euclidean distance is taken into consideration. The effectiveness of the proposed technique is first demonstrated for two numeric remote sensing data described in terms of feature vectors and then in identifying different landcover regions in remote sensing imagery. The superiority of the new method is demonstrated by comparing it with other existing techniques like automatic clustering using improved differential evolution, classical differential evolution based automatic fuzzy clustering, variable length genetic algorithm based fuzzy clustering, and well known fuzzy C-means algorithm both qualitatively and quantitatively.
140 citations
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TL;DR: In this paper, the problem of combined harvesting of two competing fish species, each of which obeys the law of logistic growth, was considered and an analysis of the dynamic behaviour of the system reveals that its non-trivial critical point is either an asymptotic stable node or an unstable saddle point depending on the values of the biological parameters.
140 citations
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TL;DR: Highly fluorescent nitrogen and phosphorus-doped carbon dots with a quantum yield 59% have been successfully synthesized from citric acid and di-ammonium hydrogen phosphate by single step hydrothermal method and applied for intercellular sensing of Fe(3+) ions as well as cancer cell imaging.
Abstract: Highly fluorescent nitrogen and phosphorus-doped carbon dots with a quantum yield 59% have been successfully synthesized from citric acid and di-ammonium hydrogen phosphate by single step hydrothermal method. The synthesized carbon dots have high solubility as well as stability in aqueous medium. The as-obtained carbon dots are well monodispersed with particle sizes 1.5-4 nm. Owing to a good tunable fluorescence property and biocompatibility, the carbon dots were applied for intercellular sensing of Fe(3+) ions as well as cancer cell imaging.
140 citations
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01 Jul 2009TL;DR: A fuzzy relational approach to human emotion recognition from facial expressions and its control and a fuzzy scheme for controlling the transition of emotion dynamics toward a desired state are presented.
Abstract: This paper presents a fuzzy relational approach to human emotion recognition from facial expressions and its control. The proposed scheme uses external stimulus to excite specific emotions in human subjects whose facial expressions are analyzed by segmenting and localizing the individual frames into regions of interest. Selected facial features such as eye opening, mouth opening, and the length of eyebrow constriction are extracted from the localized regions, fuzzified, and mapped onto an emotion space by employing Mamdani-type relational models. A scheme for the validation of the system parameters is also presented. This paper also provides a fuzzy scheme for controlling the transition of emotion dynamics toward a desired state. Experimental results and computer simulations indicate that the proposed scheme for emotion recognition and control is simple and robust, with good accuracy.
140 citations
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TL;DR: The article tackles the issues related to the identification of electrical appliances inside residential buildings by applying a temporal multilabel classification approach in the domain of nonintrusive load monitoring and proposes a novel set of metafeatures.
Abstract: The article tackles the issues related to the identification of electrical appliances inside residential buildings. Each appliance can be identified from the aggregate power readings at the meter panel. The possibility of applying a temporal multilabel classification approach in the domain of nonintrusive load monitoring is explored (nonevent-based method). A novel set of metafeatures is proposed. The method is tested on sampling rates based on the capabilities of current smart meters. The proposed approach is validated over a dataset of energy readings at residences for a period of a year for 100 houses containing different sets of appliances (water heater, washing machines, etc.). This method is applicable for the demand side management of households in the current limitation of smart meters; from the inhabitants or from the grid operator's point of view.
140 citations
Authors
Showing all 10999 results
Name | H-index | Papers | Citations |
---|---|---|---|
Subir Sarkar | 149 | 1542 | 144614 |
Amartya Sen | 149 | 689 | 141907 |
Susumu Kitagawa | 125 | 809 | 69594 |
Praveen Kumar | 88 | 1339 | 35718 |
Rodolphe Clérac | 78 | 506 | 22604 |
Rajesh Gupta | 78 | 936 | 24158 |
Santanu Bhattacharya | 67 | 400 | 14039 |
Swagatam Das | 64 | 370 | 19153 |
Anupam Bishayee | 62 | 237 | 11589 |
Michael G. B. Drew | 61 | 1315 | 24747 |
Soujanya Poria | 57 | 175 | 13352 |
Madeleine Helliwell | 54 | 370 | 9898 |
Tapas Kumar Maji | 54 | 253 | 9804 |
Pulok K. Mukherjee | 54 | 296 | 10873 |
Dipankar Chakraborti | 54 | 115 | 12078 |